Managing of Smart Micro-Grid Connected Scheme Using Group Search Optimization  

作　　者：S. Bhagawath S. Edward Rajan S. Bhagawath;S. Edward Rajan(Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Vellichanthai, India;Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, India)

机构地区：[1]Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Vellichanthai, India [2]Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, India

出　　处：《Circuits and Systems》2016年第10期3095-3111,共17页电路与系统（英文）

摘　　要：This article introduces a group search optimization (GSO) based tuning model for modelling and managing Smart Micro-Grids connected system. In existing systems, typically tuned PID controllers are engaged to point out the load frequency control (LFC) problems through different tuning techniques. Though, inappropriately tuned PID controller may reveal pitiable dynamical reply and also incorrect option of integral gain may even undermine the complete system. This research is used to explain about an optimized energy management system through Group Search Optimization (GSO) for building incorporation in smart micro-grids (MGs) with zero grid-impact. The essential for this technique is to develop the MG effectiveness, when the complete PI controller requires to be tuned. Consequently, we proposed that the proposed GSO based algorithm with appropriate explanation or member representation, derivation of fitness function, producer process, scrounger process, and ranger process. An entire and adaptable design of MATLAB/SIMULINK also proposed. The related solutions and practical test verifications are given. This paper verified that the proposed method was effective in Micro-Grid (MG) applications. The comparison results demonstrate the advantage of the proposed technique and confirm its potential to solve the problem.This article introduces a group search optimization (GSO) based tuning model for modelling and managing Smart Micro-Grids connected system. In existing systems, typically tuned PID controllers are engaged to point out the load frequency control (LFC) problems through different tuning techniques. Though, inappropriately tuned PID controller may reveal pitiable dynamical reply and also incorrect option of integral gain may even undermine the complete system. This research is used to explain about an optimized energy management system through Group Search Optimization (GSO) for building incorporation in smart micro-grids (MGs) with zero grid-impact. The essential for this technique is to develop the MG effectiveness, when the complete PI controller requires to be tuned. Consequently, we proposed that the proposed GSO based algorithm with appropriate explanation or member representation, derivation of fitness function, producer process, scrounger process, and ranger process. An entire and adaptable design of MATLAB/SIMULINK also proposed. The related solutions and practical test verifications are given. This paper verified that the proposed method was effective in Micro-Grid (MG) applications. The comparison results demonstrate the advantage of the proposed technique and confirm its potential to solve the problem.

关 键 词：MICRO-GRID PI Controller Energy Management Group Search Optimization Distributed Generation 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]